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The AI Briefing is a recurring AI deep-dive for decision-makers.
Each month, we select one high-signal industry report, circulate it in advance, & meet to cut through the noise.
This month's source: The PE AI Adoption Benchmark: From scaling to systematizing (Accordion with Wakefield Research - May 2026)
Somebody's going to ask what your AI spend returned. If your company has a board or an eventual buyer, that question is already scheduled.
Private equity gets asked first, so that's where this month's data comes from. Accordion surveyed 150 technology & AI operating partners at PE sponsors about the finance functions inside their portfolios. 41% are scaling AI across multiple companies with no operational playbook, & only 29% describe their firm as systematizing or leading.
75% of those companies arrived at acquisition unprepared or only partially ready for any of it.
86% of these operating partners expect buyers to pay a premium for AI-enabled finance capability within two years, & 44% say buyers are already asking in diligence without paying for it yet. Conviction is running ahead of price.
The deployment that worked & left no evidence behind it is the one that costs you at exit. 67% of firms measure hours recovered. 29% put AI impact in front of a board.
The Mission: Building the evidence a board or a buyer will accept
We'll work the measurement problem directly: which AI metrics connect to EBITDA, & how a company gets there without starting over.
We'll examine why only 14% of portfolio finance functions have crossed from back-office automation into real decision intelligence, & what the rest are paying for instead.
The Format:
The benchmark, fast: Five findings & the numbers under them, including the ones that don't hold up.
Translating it out of PE: Sponsors run this test on a clock, so the pressure shows up there first. We'll take what it exposes & apply it to companies with other kinds of owners.
Cross-pollinated debate: Operators compare what agentic finance already does in production (58% report automated covenant monitoring, 44% report AI-drafted board packages) against what their own governance can defend today.
Who Should Attend:
Enterprise Executives: Leave with the measures a buyer or board will scrutinize, & an honest read on which ones you could produce this quarter.
Founders & Builders: See what sponsors & portfolio CFOs are buying, & where the 47% assembling AI tools case-by-case stall out before anything compounds.
Product, Data, & Operations Leads: Compare notes on the constraint everything else runs into. Poor data infrastructure ranked first among all barriers by a wide margin, ahead of talent, legacy systems, change management, & budget. Most of it arrives at close & gets fixed while the books are closing.
The Prep: This is a working session, not a lecture. Read the report here. Bring your perspective.
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